Energy Data Scientist

Data Scientist – Energy Markets Location: Edinburgh Hybrid (c.2 days a week in the City Centre Office) Type: Permanent Salary: Competitive + Bonus and exceptional benefits About the Opportunity We are proud to be working with a pioneering organisation at the forefront of the energy transition, using advanced data technology to transform how we generate, trade, and consume power across Europe. Their forecasting tools and models are trusted across the industry, enabling smarter decision making for energy traders, regulators, investors, and technology innovators.
This is an exciting opportunity to join a specialist Power Market Modelling team that builds in-house forecasting platforms and supports high-profile projects across the European energy sector. You’ll play a key role in developing advanced models and analytics that directly contribute to shaping the future of energy. What You’ll Do

Tech Environment Languages: Python, C#, front-end web technologies Infrastructure: Microsoft Azure Modelling Approaches: Machine learning, optimisation, stochastic and agent-based models About You Experience in the energy sector - markets, trading, forecasting, etc. Strong Python skills with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). Knowledge of GitHub/Azure DevOps and SQL advantageous. Excellent communicator, able to explain technical concepts to non-technical audiences. Degree (or equivalent experience) in a numerical or computer science subject. Collaborative, customer-focused, and motivated to solve complex problems. What’s In It For You Hybrid working and flexible arrangements. 26 days annual leave plus bank holidays Bonus Scheme Discount Schemes Medical Insurances  Volunteering opportunities and green initiatives, including an EV salary sacrifice scheme. Lots of extras! Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.